Lead Software Engineer - Data modeling / Data governance

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

As a core technical contributor, you will focus on building a robust data infrastructure to support business objectives and enhance decision-making.

This role combines data governance leadership with software engineering expertise to drive innovation and growth.

Job responsibilities


* Lead the design and implementation of data models and governance frameworks to ensure data quality, consistency, and security.


* Develop data architecture solutions for machine learning engines and analytics, and oversee data migration to AWS, utilizing services like Athena.


* Collaborate with cross-functional teams to define data requirements and develop architecture solutions that support business objectives.


* Execute software solutions, design, and data analysis, ensuring secure, high-quality data models and production code.


* Produce architecture and design artifacts for complex applications, ensuring design constraints are met.


* Gather, analyze, and visualize data to drive continuous improvement of software applications and systems.


* Develop and maintain APIs using Python for data integration and create interactive dashboards with Tableau.


* Proactively identify hidden problems in data and improve coding hygiene and system architecture.


* Contribute to software engineering communities and promote a culture of diversity, equity, and inclusion.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 5+ years applied experience


* Minimum 5 years of data modeling, data architecture and data governance experience including Big Data, Relational Databases, and AWS or other Cloud based data architecture


* Hands on experience with ERwin or similar Data Modeling tool


* In-Depth knowledge of data privacy regulations and compliance requirements


* Experience with PCI, PII, Data Classification


* Strong understanding of relational databases, data warehousing, and data architecture for machine learning inputs and outputs


* Familiarity with modern front-end technologies and cloud technologies


* Minimum 3 years of experience with Python, Spark, and AWS, including full development lifecycle


* Experience with Hadoop ecosystem technologies (HDFS, HBase, Hive, Pig, Spark, MapReduce, Cloudera)


* Hands-on experience in system design, application development, testing, and operational stability


* Solid understanding of agile methodologies, JIRA, SCRUM, KANBAN CI/CD, application resiliency, Bitbucket, and security

Preferred qualifications, capabilities, and...